Triple
T17129161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beanie Feldstein |
E415675
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Feldstein |
E604432
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Feldstein | Statement: [Beanie Feldstein, familyName, Feldstein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Feldstein Context triple: [Beanie Feldstein, familyName, Feldstein]
-
A.
Feldstein
chosen
Feldstein is the family surname of American actor and filmmaker Jonah Hill.
-
B.
Friedman
Friedman is a common Ashkenazi Jewish surname borne by numerous notable individuals across fields such as economics, science, and the arts.
-
C.
Feldman
Feldman is a surname of Germanic and Ashkenazi Jewish origin borne by various notable individuals across fields such as music, academia, and the arts.
-
D.
Fogel
Fogel is a surname of likely Ashkenazi Jewish origin borne by various individuals, including the actress Barbara Bain (born Millicent Fogel).
-
E.
Dornbusch
Dornbusch is a residential district in Frankfurt am Main, Germany, known for its mix of urban housing, local commerce, and proximity to central city areas.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d886d15af4819092f92f8a129763e6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f0291ee881908fb10a8ccd7faa41 |
completed | April 18, 2026, 8:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01414a51d4819086c2346fe2d4fce4 |
completed | May 11, 2026, 2:39 a.m. |
Created at: April 10, 2026, 5:36 a.m.